• DocumentCode
    136059
  • Title

    Reliability and sensitivity analysis of composite power systems under emission constraints

  • Author

    Benidris, Mohammed ; Mitra, Joydeep

  • Author_Institution
    Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    In view of the increasing role of environmental considerations in power generation, there is an evolving body of reliability methods that are cognizant of these emerging factors. This paper presents a method for analyzing the reliability of composite power systems under the constraints of, and emissions. It also utilizes the concept of the shadow price to perform sensitivity analysis with respect to these constraints. The method presented here uses a linearized power flow representation in the form of a linear programming (LP) model similar to those frequently used in power system reliability studies. In addition to power balance and flow constraints normally used, this work introduces a suitably formulated set of emission constraints. The dual solution of the LP provides the shadow prices that are used for determining the sensitivities. This paper also develops relationships for the sensitivities of several reliability indices with respect to the emission allowances. The method is demonstrated on the IEEE-RTS and the results are presented.
  • Keywords
    linear programming; load flow; power generation economics; power generation reliability; power markets; pricing; sensitivity analysis; IEEE-RTS; LP model; composite power system reliability analysis; emission allowances; linear programming; linearized power flow representation; power balance; power emission constraints; power generation; reliability indices; sensitivity analysis; shadow price; Computers; Power system reliability; Reliability engineering; Sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939916
  • Filename
    6939916